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@chartobserver/mcp-server

by bbusche

Search ChartObserver documentation

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Read-only

Search ChartObserver documentation to find relevant passages with source URLs. Use for questions about platform features, setup, integrations, subscriptions, supported tokens, or troubleshooting.

Instructions

Search the ChartObserver documentation and return the most relevant passages, each with its source URL. Use this for questions about how the platform works — features, setup, integrations (TradingView, webhooks, the MCP server itself), subscriptions/limits/pricing, supported tokens, or troubleshooting. Answer from the returned excerpts and cite the url(s). Do NOT use it for the user's own live account data (balance, positions, prices, leaderboard) — those have dedicated tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe question or key terms to look up in the documentation.
top_kNoHow many excerpts to retrieve.
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint and openWorldHint. The description adds behavioral context: returns excerpts with URLs, and instructs to answer from excerpts and cite sources. No contradictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with purpose and domain, followed by usage constraints. Every sentence adds value; no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given full schema coverage and annotations, the description is complete. It explains what the tool returns, when to use it, and how to handle results. No gaps for an agent to misunderstand.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description does not add significant parameter-level detail beyond what the schema provides, but the schema descriptions are clear.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it searches ChartObserver documentation and returns relevant passages with source URLs. It distinguishes from sibling tools that handle live account data, making the purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly specifies when to use (questions about platform features, setup, integrations, subscriptions, etc.) and when not to use (live account data, which have dedicated tools). This provides clear decision guidance for the agent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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